Triple
T9460457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaranj |
E228131
|
entity |
| Predicate | hasRoadConnectionTo |
P11435
|
FINISHED |
| Object |
Milak
Milak is a border town in India’s Uttar Pradesh state, known as a road-linked crossing point on the route to Afghanistan via Zaranj.
|
E800906
|
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: Milak | Statement: [Zaranj, hasRoadConnectionTo, Milak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milak Context triple: [Zaranj, hasRoadConnectionTo, Milak]
-
A.
Miklas
Miklas is an Austrian surname most notably borne by Wilhelm Miklas, who served as President of Austria from 1928 to 1938.
-
B.
Michal
Michal is a mentally impaired and childlike character in Martin McDonagh’s dark play "The Pillowman," whose actions and relationship with his brother Katurian are central to the story’s moral and emotional conflict.
-
C.
Michal
Michal is a biblical figure, a daughter of King Saul who became the first wife of King David in the Hebrew Bible.
-
D.
Marek
Marek is a common given name in several Slavic countries, equivalent to the Latin name Marcus.
-
E.
Matúš
Matúš is the Slovak form of the given name Matthew, commonly used in Slovakia and other Slovak-speaking 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: Milak Triple: [Zaranj, hasRoadConnectionTo, Milak]
Generated description
Milak is a border town in India’s Uttar Pradesh state, known as a road-linked crossing point on the route to Afghanistan via Zaranj.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Milak Target entity description: Milak is a border town in India’s Uttar Pradesh state, known as a road-linked crossing point on the route to Afghanistan via Zaranj.
-
A.
Miklas
Miklas is an Austrian surname most notably borne by Wilhelm Miklas, who served as President of Austria from 1928 to 1938.
-
B.
Michal
Michal is a biblical figure, a daughter of King Saul who became the first wife of King David in the Hebrew Bible.
-
C.
Michal
Michal is a mentally impaired and childlike character in Martin McDonagh’s dark play "The Pillowman," whose actions and relationship with his brother Katurian are central to the story’s moral and emotional conflict.
-
D.
Marek
Marek is a common given name in several Slavic countries, equivalent to the Latin name Marcus.
-
E.
Matúš
Matúš is the Slovak form of the given name Matthew, commonly used in Slovakia and other Slovak-speaking 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fcaf610819092bcd3b871665aa5 |
completed | April 1, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1229ec9448190bac9b7a38e030833 |
completed | April 4, 2026, 2:39 p.m. |
| NEDg | Description generation | batch_69d1245db2e48190a56a797a681316d9 |
completed | April 4, 2026, 2:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d124c2a48c819098a24dd2aac734e1 |
completed | April 4, 2026, 2:48 p.m. |
Created at: March 30, 2026, 7:52 p.m.