Triple
T13250305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haymana |
E315507
|
entity |
| Predicate | hasAdministrativeCenter |
P1474
|
FINISHED |
| Object | Haymana town |
E315507
|
NE FINISHED |
How this triple was built (2 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: Haymana town | Statement: [Haymana, hasAdministrativeCenter, Haymana town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haymana town Context triple: [Haymana, hasAdministrativeCenter, Haymana town]
-
A.
Haymana
chosen
Haymana is a rural district and town in central Turkey known for its thermal springs and agricultural landscape within Ankara Province.
-
B.
Landhi Town
Landhi Town was an administrative subdivision of Karachi, Pakistan, encompassing the industrial and residential area of Landhi.
-
C.
Isa Town
Isa Town is a residential and commercial town in central Bahrain known for its markets, schools, and mixed local and expatriate community.
-
D.
Deneysville
Deneysville is a small town in South Africa’s Free State province, situated on the shores of the Vaal Dam and known for its water sports and recreational activities.
-
E.
Williams Town
Williams Town is a small settlement located on Little Exuma in The Bahamas, known for its quiet beaches and traditional island character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f71c5388190a6e122e14384efd7 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff393898819083bdf726466fcbe0 |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:24 p.m.