Triple
T5622180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Syria |
E147632
|
entity |
| Predicate | includesPort |
P65472
|
FINISHED |
| Object | Port of Tartus |
E27740
|
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: Port of Tartus | Statement: [Western Syria, includesPort, Port of Tartus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Tartus Context triple: [Western Syria, includesPort, Port of Tartus]
-
A.
Port of Latakia
Port of Latakia is Syria’s principal seaport on the Mediterranean, serving as a major hub for the country’s maritime trade and cargo traffic.
-
B.
Tartus
chosen
Tartus is a major Syrian port city on the Mediterranean coast that hosts Russia’s only naval facility outside the former Soviet Union.
-
C.
Latakia
Latakia is a major port city on Syria's Mediterranean coast and an important economic and cultural center for the country.
-
D.
Port of Beirut
The Port of Beirut is Lebanon’s principal maritime gateway and commercial hub on the Mediterranean Sea, historically central to the country’s trade and economy.
-
E.
Sidon Port
Sidon Port is the historic harbor of the ancient Phoenician city of Sidon in modern-day Lebanon, long known as a key Mediterranean maritime and trade hub.
- 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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c022133eec819086acb04864dde5ee |
completed | March 22, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bf6a59448190ad187cc1924fd625 |
completed | March 23, 2026, 4:19 a.m. |
Created at: March 22, 2026, 3:40 p.m.