Triple
T12741852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludhiana district |
E304506
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Raikot
Raikot is a town in the Ludhiana district of the Indian state of Punjab, known as a local commercial and agricultural center.
|
E999363
|
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: Raikot | Statement: [Ludhiana district, containsTown, Raikot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raikot Context triple: [Ludhiana district, containsTown, Raikot]
-
A.
Raukkan
Raukkan is a historic Aboriginal community in South Australia, significant as a cultural and spiritual center for the Ngarrindjeri people.
-
B.
Sikka
Sikka is an Austronesian language spoken primarily by the Sikka people on the island of Flores in eastern Indonesia.
-
C.
Rakka
Rakka is an alternative spelling of Raqqa, a historic city in northern Syria that lies on the Euphrates River and gained international attention as a former stronghold of ISIS.
-
D.
Raka
Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
-
E.
Waras
Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
- 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: Raikot Triple: [Ludhiana district, containsTown, Raikot]
Generated description
Raikot is a town in the Ludhiana district of the Indian state of Punjab, known as a local commercial and agricultural center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Raikot Target entity description: Raikot is a town in the Ludhiana district of the Indian state of Punjab, known as a local commercial and agricultural center.
-
A.
Raukkan
Raukkan is a historic Aboriginal community in South Australia, significant as a cultural and spiritual center for the Ngarrindjeri people.
-
B.
Sikka
Sikka is an Austronesian language spoken primarily by the Sikka people on the island of Flores in eastern Indonesia.
-
C.
Rakka
Rakka is an alternative spelling of Raqqa, a historic city in northern Syria that lies on the Euphrates River and gained international attention as a former stronghold of ISIS.
-
D.
Raka
Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
-
E.
Waras
Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96bd321bc81908eb61cc05b550754 |
completed | April 10, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c91ed7c81909165dc300d5b23ae |
completed | May 2, 2026, 10:37 p.m. |
| NEDg | Description generation | batch_69f67d888d7c8190b9aaeb877984a403 |
completed | May 2, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67e12b8148190958b63ba114d6221 |
completed | May 2, 2026, 10:43 p.m. |
Created at: April 9, 2026, 5:26 p.m.