Triple
T26800720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Somapura Mahavihara |
E671091
|
entity |
| Predicate | numberOfMonasticCells |
P196414
|
FINISHED |
| Object | 177 |
—
|
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: 177 | Statement: [Somapura Mahavihara, numberOfMonasticCells, 177]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMonasticCells Context triple: [Somapura Mahavihara, numberOfMonasticCells, 177]
-
A.
numberOfMonasteries
Indicates the quantity of monasteries associated with a given entity or within a specified context.
-
B.
numberOfActiveMonasteries
Indicates the count of monasteries that are currently active or operational in a given context.
-
C.
numberOfMonasteriesFounded
Indicates the total count of monasteries that a given entity has established or founded.
-
D.
numberOfMonks
Indicates the quantity or count of monks associated with a given entity or context.
-
E.
monasticCenters
Indicates that one entity serves as a monastic center or hub for religious monastic life in relation to another entity.
- 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_69eeb31fbd888190a82dac5822e453bc |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69fe349879848190bcd77e3cc3470458 |
completed | May 8, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69fe31e3cf908190b23ebc2f7fe58722 |
completed | May 8, 2026, 6:56 p.m. |
| PDg | Predicate description generation | batch_69fe349739cc8190a21c408208312e6c |
completed | May 8, 2026, 7:08 p.m. |
Created at: April 27, 2026, 4:22 a.m.