Triple
T8748456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phawngpui National Park |
E207891
|
entity |
| Predicate | nearestCity |
P350
|
FINISHED |
| Object | Lunglei |
E635192
|
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: Lunglei | Statement: [Phawngpui National Park, nearestCity, Lunglei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lunglei Context triple: [Phawngpui National Park, nearestCity, Lunglei]
-
A.
Lunglei
chosen
Lunglei is a major town in the Indian state of Mizoram and an important cultural and administrative center for the Mizo people.
-
B.
Naga
Naga is a city in the Bicol Region of the Philippines known as a major religious, cultural, and commercial center, particularly famed for the annual Peñafrancia Festival.
-
C.
Naga
Naga refers to a mythological serpent or dragon-like being found in Hindu and Buddhist traditions, often associated with water, protection, and hidden wisdom.
-
D.
Naga
Naga is a coastal city and municipality on Cebu Island in the Philippines known for its industrial activities and growing urban development.
-
E.
Sanglechi
Sanglechi is a lesser-known Eastern Iranian language spoken in parts of northeastern Afghanistan and adjacent regions.
- 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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5da4214881908b6917f847c43cb5 |
completed | March 31, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf4313630881909b946cb8a2bdf793 |
completed | April 3, 2026, 4:33 a.m. |
Created at: March 30, 2026, 6:39 p.m.