Triple
T7673544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taur Matan Ruak |
E173803
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Taur Matan Ruak |
E173803
|
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: Taur Matan Ruak | Statement: [Taur Matan Ruak, name, Taur Matan Ruak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taur Matan Ruak Context triple: [Taur Matan Ruak, name, Taur Matan Ruak]
-
A.
Taur Matan Ruak
chosen
Taur Matan Ruak is an East Timorese military leader and politician who served as commander of the national defence force and later as President of Timor-Leste.
-
B.
Mount Loilaeng
Mount Loilaeng is a prominent peak in eastern Myanmar, recognized as the highest mountain in the Shan Hills range.
-
C.
Mount Werong
Mount Werong is a prominent peak in New South Wales, Australia, known as the loftiest summit within the Blue Mountains region.
-
D.
Sangotedo
Sangotedo is a rapidly developing suburban area in the Lekki–Epe corridor of Lagos, Nigeria, known for its growing residential estates and shopping centers.
-
E.
Mount Loke
Mount Loke is a peak in Antarctica’s Olympus Range, part of the McMurdo Dry Valleys region known for its cold, arid, and largely ice-free landscape.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701e06e948190b1ef2e754604ac5a |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b4fa4f9c8190a1cd2c1aa173296d |
completed | March 29, 2026, 5:13 a.m. |
Created at: March 27, 2026, 4 p.m.