Triple
T15584009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palmyrene mountain range |
E374570
|
entity |
| Predicate | nearbyAncientCity |
P14422
|
FINISHED |
| Object | Tadmor |
E675992
|
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: Tadmor | Statement: [Palmyrene mountain range, nearbyAncientCity, Tadmor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tadmor Context triple: [Palmyrene mountain range, nearbyAncientCity, Tadmor]
-
A.
Palmyra
chosen
Palmyra was an ancient Semitic city in present-day Syria that flourished as a wealthy caravan oasis and cultural crossroads between the Roman Empire and the civilizations of the Near East.
-
B.
Palmyra
Palmyra is a small New Jersey township along the Delaware River known for its residential neighborhoods and proximity to Philadelphia.
-
C.
Tarshiha
Tarshiha is an Arab town in northern Israel, known today as the Arab component of the mixed city of Ma'alot-Tarshiha.
-
D.
Madayya
Madayya was a poet who served in the royal court of the Vijayanagara emperor Sri Krishnadevaraya.
-
E.
Balamand
Balamand is a locality in northern Lebanon best known for hosting the historic Balamand Monastery and the main campus of the University of Balamand.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e47971481909e986dd999354628 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7563674c81908b035a7672b2827d |
completed | May 9, 2026, 5:56 p.m. |
Created at: April 10, 2026, 4:11 a.m.