Triple
T24684128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aranya Low Cost Housing, Indore |
E611230
|
entity |
| Predicate | estimatedDwellingsPlanned |
P51752
|
FINISHED |
| Object | around 6,500 housing units |
—
|
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: around 6,500 housing units | Statement: [Aranya Low Cost Housing, Indore, estimatedDwellingsPlanned, around 6,500 housing units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedDwellingsPlanned Context triple: [Aranya Low Cost Housing, Indore, estimatedDwellingsPlanned, around 6,500 housing units]
-
A.
plannedAffordableUnitsShare
Indicates the proportion of all planned housing units in a project or area that are designated as affordable units.
-
B.
numberPlanned
chosen
Indicates that a specific quantity has been scheduled or intended for a future action or allocation.
-
C.
plannedPopulation
Indicates the intended or projected number of individuals expected to occupy or use something, such as a facility, area, or system, according to a plan.
-
D.
intendedResidents
Indicates the people or entities for whom a place, dwelling, or facility is designed or meant to be occupied by.
-
E.
envisionedPopulation
Indicates a relationship where an entity specifies or projects an expected or target population size for something (such as a place, project, or scenario).
- 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_69e2c4d678b081908910f4271627a31a |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:16 a.m.