Triple
T8424081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haifa (via Israeli road network) |
E198933
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object |
Krayot urban area
Krayot urban area is a cluster of coastal suburban towns north of Haifa in Israel, functioning as its metropolitan extension.
|
E733148
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Krayot urban area | Statement: [Haifa (via Israeli road network), connectedTo, Krayot urban area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krayot urban area Context triple: [Haifa (via Israeli road network), connectedTo, Krayot urban area]
-
A.
Ruza Urban Settlement
Ruza Urban Settlement is a municipal formation in Moscow Oblast, Russia, centered around the town of Ruza and its surrounding territories.
-
B.
Maidan Shahr
Maidan Shahr is a town in central Afghanistan that serves as the administrative and commercial hub of Wardak Province.
-
C.
Orangi Town
Orangi Town is a densely populated residential area in Karachi, Pakistan, known as one of Asia’s largest informal settlements.
-
D.
Adlersky City District
Adlersky City District is a municipal district of Sochi, Russia, known for encompassing the Adler area along the Black Sea coast, including key resort and Olympic facilities.
-
E.
Zaman Town
Zaman Town is a residential neighborhood located within the Korangi District of Karachi, Pakistan.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Krayot urban area Triple: [Haifa (via Israeli road network), connectedTo, Krayot urban area]
Generated description
Krayot urban area is a cluster of coastal suburban towns north of Haifa in Israel, functioning as its metropolitan extension.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Krayot urban area Target entity description: Krayot urban area is a cluster of coastal suburban towns north of Haifa in Israel, functioning as its metropolitan extension.
-
A.
Ruza Urban Settlement
Ruza Urban Settlement is a municipal formation in Moscow Oblast, Russia, centered around the town of Ruza and its surrounding territories.
-
B.
Maidan Shahr
Maidan Shahr is a town in central Afghanistan that serves as the administrative and commercial hub of Wardak Province.
-
C.
Orangi Town
Orangi Town is a densely populated residential area in Karachi, Pakistan, known as one of Asia’s largest informal settlements.
-
D.
Adlersky City District
Adlersky City District is a municipal district of Sochi, Russia, known for encompassing the Adler area along the Black Sea coast, including key resort and Olympic facilities.
-
E.
Zaman Town
Zaman Town is a residential neighborhood located within the Korangi District of Karachi, Pakistan.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca8312d63c8190bf133b676b44a385 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb85a0d04481908a5da908cafeceaa |
completed | March 31, 2026, 8:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce035aac4c81909066c1ca1318d006 |
completed | April 2, 2026, 5:49 a.m. |
| NEDg | Description generation | batch_69ce07837648819080cd4026af55b246 |
completed | April 2, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce083cee848190b27a7dd19a16a0dc |
completed | April 2, 2026, 6:10 a.m. |
Created at: March 30, 2026, 6:07 p.m.