Triple
T8634783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hethumid dynasty |
E204493
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Tarsus |
E47685
|
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: Tarsus | Statement: [Hethumid dynasty, capital, Tarsus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarsus Context triple: [Hethumid dynasty, capital, Tarsus]
-
A.
Tarsus
chosen
Tarsus is an ancient city in Cilicia (in modern-day Turkey) known as a major cultural and commercial center of the Roman Empire and as the birthplace of the Apostle Paul.
-
B.
Smyrna
Smyrna is a suburban city in the Atlanta metropolitan area known for its residential communities, parks, and proximity to major Atlanta attractions.
-
C.
Smyrna
Smyrna was a major Aegean port city (modern-day İzmir in Turkey) that served as a key commercial and cultural hub in the Ottoman Empire.
-
D.
Edessa
Edessa is a historic city in northern Greece renowned for its picturesque waterfalls and ancient heritage.
-
E.
Edessa
Edessa was an ancient city in Upper Mesopotamia, renowned as a major early center of Syriac Christianity and culture.
- 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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc475fb9dc8190bd0d6e5edd05ea79 |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef354c5c08190bf7d3023a3473d2f |
completed | April 2, 2026, 10:53 p.m. |
Created at: March 30, 2026, 6:27 p.m.