Triple
T2397599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarsus |
E47685
|
entity |
| Predicate | onTradeRoute |
P35626
|
FINISHED |
| Object | route between Syria and central Anatolia |
—
|
LITERAL 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: route between Syria and central Anatolia | Statement: [Tarsus, onTradeRoute, route between Syria and central Anatolia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onTradeRoute Context triple: [Tarsus, onTradeRoute, route between Syria and central Anatolia]
-
A.
includesTradeRoute
chosen
Indicates that one entity contains, encompasses, or makes use of a particular trade route within its scope or structure.
-
B.
tradeSystem
Indicates a system or framework through which goods, services, or assets are exchanged between parties under defined rules or mechanisms.
-
C.
trades
Indicates an exchange relationship where one party gives something of value to another in return for something else of value.
-
D.
tradesAs
Indicates that one entity conducts business or is publicly known under the trading name or brand of another entity.
-
E.
tradeNetwork
Indicates a relationship where entities are connected through the exchange of goods, services, or resources within an ongoing system of trade.
- F. None of above.
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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc8c5f0948190b4ea729693d8c306 |
completed | March 7, 2026, 6:42 a.m. |
| PD | Predicate disambiguation | batch_69abc5a3825c81909ec6111dfc165453 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:57 p.m.