Triple
T10547183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saba |
E248850
|
entity |
| Predicate | hadVassalOrAlliedStates |
P7255
|
FINISHED |
| Object | Hadramawt |
E458434
|
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: Hadramawt | Statement: [Saba, hadVassalOrAlliedStates, Hadramawt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hadramawt Context triple: [Saba, hadVassalOrAlliedStates, Hadramawt]
-
A.
Hadramawt
chosen
Hadramawt is a historical region in southern Arabia, centered in present-day eastern Yemen, known for its ancient kingdoms, incense trade, and distinctive desert valleys.
-
B.
الطور
الطور هو الاسم العربي لجبل الزيتون الشهير المطل على مدينة القدس والمقدّس لدى الديانات الإبراهيمية.
-
C.
El-Basaliya
El-Basaliya is a town located in Egypt’s Aswan Governorate, a region known for its Nile-side settlements and proximity to major Nubian and ancient Egyptian heritage sites.
-
D.
Gash‑Barka
Gash‑Barka is a largely agricultural region in southwestern Eritrea known for its fertile land and role as one of the country’s main food-producing areas.
-
E.
Ras Lanuf
Ras Lanuf is a major oil port and industrial town on Libya’s Mediterranean coast, known for its large refinery and strategic role in the country’s petroleum exports.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5280da8bc8190a2a7c90dbc17ea70 |
completed | April 7, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9344a53fc81909765061d07d0cd20 |
completed | April 10, 2026, 5:32 p.m. |
Created at: April 6, 2026, 12:33 p.m.