Triple
T38583769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hellfire Peninsula |
E932300
|
entity |
| Predicate | neutralHub |
P191221
|
FINISHED |
| Object | Temple of Telhamat |
—
|
NE NERFINISHED |
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: Temple of Telhamat | Statement: [Hellfire Peninsula, neutralHub, Temple of Telhamat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neutralHub Context triple: [Hellfire Peninsula, neutralHub, Temple of Telhamat]
-
A.
neutralUntil
Indicates a relationship where one entity remains neutral toward another until a specified condition, event, or time is reached.
-
B.
neutralValue
Indicates that the relationship or action has no positive or negative bias, effect, or preference toward any of the involved entities.
-
C.
neutralized
Indicates that one entity has rendered another entity ineffective, harmless, or no longer able to exert its intended effect.
-
D.
neutralCitation
Indicates that a legal case or decision is identified by a standardized, publisher-independent citation assigned by the court or tribunal.
-
E.
neutralSiteState
Indicates that a site or location is in a neutral, non-aligned, and non-active state with respect to the relevant interaction or conflict.
- F. None of above. chosen
Provenance (4 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcdaa2bfc08190beccabb0f1782d0d |
completed | May 7, 2026, 6:32 p.m. |
Created at: May 3, 2026, 4:32 p.m.