Triple
T15592496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabuk |
E374779
|
entity |
| Predicate | nearbyProject |
P119354
|
FINISHED |
| Object | Trojena (NEOM) |
E218502
|
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: Trojena (NEOM) | Statement: [Tabuk, nearbyProject, Trojena (NEOM)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trojena (NEOM) Context triple: [Tabuk, nearbyProject, Trojena (NEOM)]
-
A.
NEOM
chosen
NEOM is a planned futuristic mega-city and economic zone in northwest Saudi Arabia, designed as a hub for innovation, sustainability, and high-tech industries.
-
B.
Ras El Hekma
Ras El Hekma is a prominent Mediterranean coastal area in Egypt known for its clear turquoise waters, white sandy beaches, and growing status as a luxury tourism and real estate destination.
-
C.
Evron
Evron is a given name most notably borne by American political scientist and intelligence official Evron Maurice Kirkpatrick.
-
D.
Za'atara
Za'atara is a Palestinian town located in the central West Bank within the Bethlehem Governorate.
-
E.
Mesaieed
Mesaieed is an industrial city in Qatar known for its major port facilities and petrochemical industries.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e5e43d48190a8fd367f13f1c7e1 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56c5baac819099d53896f6a35d94 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:12 a.m.