Triple
T27646483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girivalam |
E696725
|
entity |
| Predicate | peakOccasionMonth |
P108895
|
FINISHED |
| Object | Karthigai (November–December) |
—
|
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: Karthigai (November–December) | Statement: [Girivalam, peakOccasionMonth, Karthigai (November–December)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakOccasionMonth Context triple: [Girivalam, peakOccasionMonth, Karthigai (November–December)]
-
A.
typicalMonthOfOccurrence
Indicates the month in which something most commonly or typically occurs.
-
B.
peakSeasonMonth
chosen
Indicates the month or months during which something (such as demand, activity, or occurrence) reaches its highest or most intense level.
-
C.
monthObserved
Indicates the month during which an event, observation, or measurement took place.
-
D.
typicalMeetingMonth
Indicates the month in which an entity most commonly or usually holds its meetings.
-
E.
typicalEventMonth
Indicates the month in which an event or type of event typically occurs.
- 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_69ef590abd3c8190834d0193bde12007 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6359e3d3c81909814e2f0a7fb0ea9 |
completed | May 2, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 2:29 p.m.