Triple
T16925318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Froyla_Tzalam |
E410557
|
entity |
| Predicate | publicOfficeRank |
P60468
|
FINISHED |
| Object | head_of_state |
—
|
LITERAL 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: head_of_state | Statement: [Froyla_Tzalam, publicOfficeRank, head_of_state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicOfficeRank Context triple: [Froyla_Tzalam, publicOfficeRank, head_of_state]
-
A.
governmentalRank
chosen
Indicates the official hierarchical level or position an entity holds within a governmental or public administration structure.
-
B.
civilServiceRank
Indicates that one entity holds a specific rank or position within a civil service hierarchy relative to another entity or classification.
-
C.
officeHolderRankSometimes
Indicates that an office holder’s rank or level within a position can vary or apply only in certain situations or periods.
-
D.
policeRank
Indicates that one entity holds a specific rank or position within a police organization relative to another entity.
-
E.
ordinalInOffice
Indicates the numerical order or rank of an individual’s term or tenure in a particular office or position.
- F. None of above.
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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdf1ebdc8190b39a9469636de01e |
completed | April 18, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69e32b982f548190b08414d55810de19 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:30 a.m.