Triple
T9976865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devlet I Giray |
E196353
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Devlet |
E670654
|
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: Devlet | Statement: [Devlet I Giray, givenName, Devlet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Devlet Context triple: [Devlet I Giray, givenName, Devlet]
-
A.
Devlet
chosen
Devlet is a Turkish masculine given name most prominently associated with politician Devlet Bahçeli, leader of the Nationalist Movement Party (MHP).
-
B.
Milliyet
Milliyet is a major Turkish daily newspaper known for its national coverage and influential role in Turkey’s media landscape.
-
C.
Mûmakil
The Mûmakil are gigantic, elephant-like war beasts from J.R.R. Tolkien’s Middle-earth, most famously used as living siege engines by the forces of Sauron.
-
D.
La Unión
La Unión is a coastal city in southeastern El Salvador that serves as a major Pacific port and gateway on the Gulf of Fonseca.
-
E.
La Unión
La Unión is a Chilean city in the Los Ríos Region known for its agricultural activities, dairy production, and role as a local commercial center.
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb84d0d3c8190b268582bb79c8973 |
completed | April 2, 2026, 12:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23de601f0819096004bf60ffa2d2c |
completed | April 5, 2026, 10:48 a.m. |
Created at: March 30, 2026, 8:48 p.m.