Triple
T1764205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phoenician religion |
E38724
|
entity |
| Predicate | hasCenter |
P35
|
FINISHED |
| Object | Byblos |
E30368
|
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: Byblos | Statement: [Phoenician religion, hasCenter, Byblos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Byblos Context triple: [Phoenician religion, hasCenter, Byblos]
-
A.
Byblos
chosen
Byblos is an ancient Phoenician port city in modern-day Lebanon, considered one of the oldest continuously inhabited cities in the world and a major center of early writing and trade.
-
B.
Sidon
Sidon is an ancient Phoenician port city, located in present-day Lebanon, that was a major center of maritime trade and culture in the eastern Mediterranean.
-
C.
Kyrenia
Kyrenia is a historic coastal city on the northern shore of Cyprus, known for its picturesque harbor, medieval castle, and role as a major tourist and cultural center in the region.
-
D.
Ṭarābulus
Ṭarābulus is the Arabic name for Tripoli, a major historic port city and the capital of Libya on the Mediterranean coast.
-
E.
Tartus
Tartus is a major Syrian port city on the Mediterranean coast that hosts Russia’s only naval facility outside the former Soviet Union.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa646665088190afa31bdf48f14316 |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf3d06e88190a082b142ff9209ee |
completed | March 8, 2026, 8:42 p.m. |
Created at: March 4, 2026, 7:31 p.m.