Triple
T13187317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashgabat–Türkmenbaşy highway |
E313889
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Türkmenbaşy port |
E529394
|
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: Türkmenbaşy port | Statement: [Ashgabat–Türkmenbaşy highway, connectsTo, Türkmenbaşy port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Türkmenbaşy port Context triple: [Ashgabat–Türkmenbaşy highway, connectsTo, Türkmenbaşy port]
-
A.
Türkmenbaşy
chosen
Türkmenbaşy is a port city in western Turkmenistan on the Caspian Sea, serving as a key hub for maritime trade and regional transport.
-
B.
Ambarlı Port
Ambarlı Port is a major container and cargo seaport complex on the Sea of Marmara serving as one of Istanbul and Turkey’s key maritime trade hubs.
-
C.
Aliağa Port
Aliağa Port is a major industrial and commercial seaport on Turkey’s Aegean coast, serving petrochemical plants, refineries, and bulk cargo operations.
-
D.
Port of Gemlik
The Port of Gemlik is a significant Turkish maritime hub on the Sea of Marmara, known especially for its role in container, automotive, and general cargo trade.
-
E.
Türkmenabat
Türkmenabat is a major city in eastern Turkmenistan, serving as an important industrial, transport, and agricultural center near the border with Uzbekistan.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c4b663c8190b0b18f0785f7b57d |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5f7a304819081c4f51631948cbd |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:15 p.m.